Augment Function Scale Zero One

Takes a numeric vector and will return a vector that has been scaled from [0,1]

Usage

hai_scale_zero_one_augment(.data, .value, .names = "auto")

Arguments

.data

The data being passed that will be augmented by the function.

.value

This is passed rlang::enquo() to capture the vectors you want to augment.

.names

This is set to 'auto' by default but can be a user supplied character string.

Value

An augmented tibble

Details

Takes a numeric vector and will return a vector that has been scaled from [0,1] The input vector must be numeric. The computation is fairly straightforward. This may be helpful when trying to compare the distributions of data where a distribution like beta from the fitdistrplus package which requires data to be between 0 and 1

$$y[h] = (x - min(x))/(max(x) - min(x))$$

This function is intended to be used on its own in order to add columns to a tibble.

See also

Other Augment Function: hai_fourier_augment(), hai_fourier_discrete_augment(), hai_hyperbolic_augment(), hai_polynomial_augment(), hai_scale_zscore_augment(), hai_winsorized_move_augment(), hai_winsorized_truncate_augment()

Other Scale: hai_scale_zero_one_vec(), hai_scale_zscore_augment(), hai_scale_zscore_vec(), step_hai_scale_zscore()

Author

Steven P. Sanderson II, MPH

Examples

df <- data.frame(x = rnorm(100, 2, 1))
hai_scale_zero_one_augment(df, x)
#> # A tibble: 100 × 2
#>        x hai_scale_zero_one_x
#>    <dbl>                <dbl>
#>  1 2.25                 0.537
#>  2 3.93                 0.850
#>  3 2.61                 0.603
#>  4 2.26                 0.539
#>  5 2.94                 0.665
#>  6 3.78                 0.822
#>  7 2.76                 0.632
#>  8 0.603                0.231
#>  9 2.04                 0.498
#> 10 2.37                 0.559
#> # ℹ 90 more rows